class_docstr: This class implements a model-specific automatic speech recognizer using the end-to-end speech recognizer
  DeepSpeech and PyTorch. It supports both version 2 and version 3 of DeepSpeech models as released at
  https://github.com/SeanNaren/deepspeech.pytorch.
  
  | Paper link: https://arxiv.org/abs/1512.02595
docstr: Put the estimator in the training mode.
docstr_tok: ["Put","the","estimator","in","the","training","mode","."]
code: def to_training_mode(self) -> None:
      """
      Put the estimator in the training mode.
      """
      self.model.train()
  
imports: import logging
  from typing import TYPE_CHECKING, List, Optional, Tuple, Union
  from pkg_resources import packaging
  import numpy
  from art import config
  from art.estimators.pytorch import PyTorchEstimator
  from art.estimators.speech_recognition.speech_recognizer import SpeechRecognizerMixin, PytorchSpeechRecognizerMixin
  from art.utils import get_file
label_desc: Use image node_id 8 for calling the PyTorchDeepSpeech obj's underlying member method code with example usage: obj.to_training_mode() without return types